Chatbots using Machine Language: Mood Analyzer and a Political Commentator

Chatbots using Machine Language:  Mood Analyzer and a Political Commentator

Ujjwal Nayan¹ and Laxmi Ahuja²

¹ Amity Institute of Information Technology (AIIT), Amity University, Noida, Uttar Pradesh

 theujjwalnayan@gmail.com

² Amity Institute of Information Technology (AIIT), Amity University, Noida, Uttar Pradesh

 lahuja@amity.edu

Abstract - The use of chatbots is rapidly increasing in various fields such as customer service, healthcare, education, and e-commerce. The advancement in Natural Language Processing (NLP) and Machine Learning (ML) techniques has led to the development of more sophisticated chatbots that can understand and respond to human language in a more effective manner. OpenAI is a world-renowned artificial intelligence research organization dedicated to advancing the capabilities of AI and making it more accessible to individuals and businesses alike. One of their latest offerings is a powerful AI language model called GPT-3, which is used to develop a Mood Analyzer and a Political Commentator chatbot. This research paper aims to explore the features and functionality of the Mood Analyzer and Political Commentator chatbot in OpenAI's GPT-3 model, and how they can be used to analyze and interpret human emotions and political discourse. By leveraging machine learning algorithms, a comprehensive analysis of text data could be performed, enabling users to gain insights, and understanding into the sentiment and topics discussed in the text input.

Key Words:  Chatbot, Natural Language Processing, OpenAi, Mood, Bias, Analysis.